For all experiments the DAVIS training data is used to train our Appearance model and the Appearance+Motion model. The optimization method used is Adam [1]} with learning rate \(10^{-6}\)  during training, and \(10^{-5}\)  during on-line adaptation. In on-line adaptation 15 iterations are used in the scale/rotation experiments and 50 in the tasks experiments. Adaptation is only conducted once at the initialization of the video object segmentation. The positive threshold used to identify highly confident positive samples is 0.8, and the negative threshold distance to the foreground mask is 220 in case of DAVIS benchmark. Since IVOS is recorded in an indoor setup, a negative distance threshold of 20 is used.
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